Drone Control Using EEG


Dr. Priya Charles, Aditi Sinha, Siddhant Kulkarni, Pranav Shah
Department of Electronics and Telecommunication Engineering, Dr. D. Y. Patil Institute of Engineering, Management & Research, Akurdi, India.


Artificial Intelligence and automation is the future of the world, and with continuous reduction in human effort, The project aims to develop a drone that is controlled entirely by brain waves, based on Brain-Computer Interfaces (BCI). This interface is possible using EEG. Electroencephalography (EEG) is a diagnostic test and monitoring method used to record electrical activities in the brain. The EEG has electrodes in the form of small, metal discs that are attached to the person’s scalp, these detect the changes and abnormalities in the brain waves which are in the form of electrical signals. The received signals are passed through filters and different operations to extract suitable, operational signal features which are segregated on various parameters outlined for drone controls, are fed to the ML model which will classify the input, to be trained repeatedly to properly guide the drone. The desired feature results are delivered to the drone through Arduino. A drone controlled with brain waves is useful during search and rescue operations providing critical information from aerial points. A similar BCI application can be used in bionic prosthetics so that a person lacking a limb may be able to control a prosthetic simply using an EEG and EMG interface. There are limitless applications in human-to-machine interaction that will reduce the need for physical input.